CGF
2010
13 years 1 months ago
2010
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
PAMI
2002
13 years 4 months ago
2002
SSPR
1998
Springer
13 years 8 months ago
1998
Springer
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
ACCV
2006
Springer
13 years 10 months ago
2006
Springer
This paper presents a robust player tracking method for sports video analysis. In order to track agile player stably and robustly, we employ multiple models method, with a mean shi...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
Theoretical understanding and extension of mean shift procedure has received much attention recently [8, 18, 3]. In this paper, we present a theoretical exploration and an algorit...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We introduce the concept of a spatiogram, which is a generalization of a histogram that includes potentially higher order moments. A histogram is a zeroth-order spatiogram, while ...